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The Articles published on this site have been written by members of the Data Science Foundation and are open to peer review by other members.

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CATEGORY: Machine Learning

Get The Best Machine Learning Libraries For Beginners

06 January 2022
Ananya Gupta
Views (393)

“Machine learning training is a type of artificial intelligence training and it can be defined as the ability of self-learning from the data and implies it by self without the interaction of human” Now we will discuss the machine learning libraries and what is the purpose behind them. Read More

Automated machine learning (AutoML)

05 November 2021
Akash S M
Views (630)

In today's world, machine learning is the most popular technology! It is now used in practically every field imaginable, increasing its significance exponentially. But what about individuals who aren't as familiar with Machine Learning? That's where AutoML, or automated machine learning, comes in! Read More

No Code - Machine Learning

05 November 2021
Kishan Sivakumar
Views (1751)

Machine learning and artificial intelligence are two domains of technology that are quickly evolving and being used in a variety of industries, including finance, education, and business. However, mastering machine learning is extremely difficult and time-consuming. This led to the birth of No-Code ML! Read More

Digital KYC Solutions: A Shield For Your Business

18 September 2021
Cogito Tech LLC
Views (393)

Digital KYC or Know Your Customer process is paperless and helps in verifying customer information through technology such as Artificial Intelligence. Digital KYC solutions backed by a robust AI program encompasses real-time customer verification, facial recognition, and authentication. Read More

Basic Overview of SVM Algorithm

10 December 2020
Mayank Tripathi
Views (7412)

Want to learn about the popular algorithm known as SVM? This article explains what SVM is, and how it works. Read More

Machine Learning Web-based Decision Making

02 December 2020
Muhammad Haroon
Views (2395)

ML algorithms have replaced the conventional algorithms that made tasks unfeasible and unachievable. Now it has the aptitude to learn and solve problems and help in decision-making. These machines are also called bots or intelligent agents. Read More

A Comparison between Logistic Regression and Decision Tree Methods for Predicting the Preterm Birth

05 November 2020
Rakesh Saroj
Views (2254)

Pre-term birth is a progressively more prevalent complex situation with various risk factors including environmental pollutants. We have been tested the logistic regression and decision tree classifier methods in this dataset and to evaluate the accuracy of the logistic regression and decision tree method through various indices. Read More

Release Update for Spark NLP for Healthcare 2.6

17 September 2020
Data Science Foundation
Views (848)

Spark NLP for Healthcare 2.6 has just been released. In addition to all the goodies of the latest open-source package, new features are included in this update Read More

Understanding the Rising Data Dimension Reduction Hero t-SNE

22 July 2020
Abhishek Mishra
Views (770)

t-SNE is a powerful algorithm that reduces the dimentions in high dimension data to enable visualizing the data via scatter plots, histograms, or boxplot which allow for a quick understanding of the patterns of the data Read More

Lab Uses Global Market, Social and Technological Advances to Help Create the Next Generation of BIC Products

22 June 2020
Iprova
Views (600)

BIC, a world leader in stationery, lighters, and shavers, is partnering with technology company Iprova to launch the BIC-Iprova Invention Lab to enhance BIC’s Innovation and Research & Development (R&D) capability. Using Iprova’s machine learning-based, data-driven approach to invention, the Lab will help BIC anticipate and answer rapidly changing consumer needs with unexpected inventions that will benefit consumers. BIC is the first company to build an in-house data-dri... Read More

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The Articles published on this site have been written by members of the Data Science Foundation and are open to peer review by other members.

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